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Signal Processing Research Program
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Oppenheim, Alan V.; Musicus, Bruce R.; Song, William S.; Beckmann, Paul E.; Buck, John R.; Feder, M Weinstein, E Burrus, Charles S.; Cobra, Daniel T.; Covell, Michele M.; Prasanna, G. N. S Fogg, Dennis C. Y.; Jachner, J Joo, Tae H.; Preisig, James C.; Richard, Michael D.; Jaffe, J Stanton, T Tabei, M Wornell, Gregory W.
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Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT)
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Contains table of contents for Part III, table of contents for Section 1, an introduction and reports on fourteen research projects.
Other Identifiers:
RLE_PR_132_03_01s_01
Is Part Of:
Massachusetts Institute of Technology, Research Laboratory of Electronics, Progress Report, January 1 - December 31, 1989Systems and SignalsDigital Signal ProcessingSignal Processing Research Program
Series/Report no.:
Massachusetts Institute of Technology. Research Laboratory of Electronics. Progress Report, no. 132
Signal Processing Research Program, Algorithmic Fault Tolerance in Digital Signal Processing, Active Noise Cancellation Using the EM Algorithm, Iterative Maximum Likelihood Time Delay Using Stationary Signals, Doppler Estimation Using Stationary Signals, Estimation of Geometric Distortions in Side-Scan Sonar Images, Correction of Geometric Distortions in Side-Scan Sonar Images, An Algorithm Design Environment for Signal Processing, Compiling Signal Processing Algorithms into Architectures, Vector Quantization with Adaptive Structured Codebooks, The Application of Complex Approximation Algorithms to the Design of Robust Range-Dependent Beamformers, Analysis of an Adaptively Trained Recurrent Neural Network, Applications of an Adaptively Trained Recurrent Neural Network, Code-Division, Multiple Beam Sonar Imaging System, Back-projection with Fourier Series Expansion and FFT, Iterative Algorithms for Parameter Estimation from Incomplete Data, Applications of Iterative Algorithms for Parameter Estimation from Incomplete Data to Signal Processing, Equalization (Identification) of Non-Minimum Phase Systems, Signal Processing with 1/f Processes Using Wavelets
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MIT-Mirage中国电子顶级开发网论坛(EETOP) 国内顶级电子论坛，最活跃的电子工程师交流社区discrete_time_signal_processing_oppenheim_2e_solu...
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3、若您有疑问，可将问题及您的微博昵称私信至@微盘 ，或者发邮件至，我们将尽快为您处理。&&&&Alan V. Oppenheim - Signals and Systems - 2nd Edition
Alan V. Oppenheim - Signals and Systems - 2nd Edition
The second edition of this well-known and highly regarded text can be used as the basis for a one- or two-semester undergraduate course in signals and linear systems theory and applications. Topics include basic signals and systems concepts, linear time-invariant (LTI) systems, Fourier representations of continuous-time and discrete-time signals, the CT and DT Fourier transforms, and time- and frequency-domain analysis methods. The author emphasizes applications of the theory through numerous examples in filtering, sampling, communications, and feedback. The parallel development of continuous-time and discrete-time frequency domain methods allows the reader to apply insights and intuition across the two domains. It also facilitates a deeper understanding of the material by bringing into focus the similarities and differences between the two domains. The text also includes introductory chapters on communication systems and control theory. This book assumes that you have a background in calculus as well as exposure to complex numbers and elementary differential equations. Because of its thoroughness and unhurried pace, this text is highly recommended for students and those interested in self-study.
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